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Kenton Lee
Kenton Lee
Google DeepMind
Bestätigte E-Mail-Adresse bei google.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
J Devlin, MW Chang, K Lee, K Toutanova
arXiv preprint arXiv:1810.04805, 2018
1252872018
Natural questions: a benchmark for question answering research
T Kwiatkowski, J Palomaki, O Redfield, M Collins, A Parikh, C Alberti, ...
Transactions of the Association for Computational Linguistics 7, 453-466, 2019
29522019
REALM: Retrieval-Augmented Language Model Pre-Training
K Guu, K Lee, Z Tung, P Pasupat, MW Chang
arXiv preprint arXiv:2002.08909, 2020
2020*2020
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
C Clark, K Lee, MW Chang, T Kwiatkowski, M Collins, K Toutanova
arXiv preprint arXiv:1905.10044, 2019
12292019
End-to-end Neural Coreference Resolution
K Lee, L He, M Lewis, L Zettlemoyer
EMNLP, 2017
11982017
Latent Retrieval for Weakly Supervised Open Domain Question Answering
K Lee, MW Chang, K Toutanova
arXiv preprint arXiv:1906.00300, 2019
10602019
Well-read students learn better: On the importance of pre-training compact models
I Turc, MW Chang, K Lee, K Toutanova
arXiv preprint arXiv:1908.08962, 2019
971*2019
Legibility and predictability of robot motion
AD Dragan, KCT Lee, SS Srinivasa
2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI …, 2013
8962013
Higher-order Coreference Resolution with Coarse-to-fine Inference
K Lee, L He, L Zettlemoyer
arXiv preprint arXiv:1804.05392, 2018
6092018
Deep semantic role labeling: What works and what’s next
L He, K Lee, M Lewis, L Zettlemoyer
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017
5892017
BERT: Pre-training of deep bidirectional transformers for language understanding 2019 Conference of the North American Chapter of the Association for Computational Linguistics …
J Devlin, MW Chang, K Lee, K Toutanova
Materials Science and Engineering 1115, 012032, 2021
5442021
Zero-Shot Entity Linking by Reading Entity Descriptions
L Logeswaran, MW Chang, K Lee, K Toutanova, J Devlin, H Lee
arXiv preprint arXiv:1906.07348, 2019
3012019
Pix2struct: Screenshot parsing as pretraining for visual language understanding
K Lee, M Joshi, IR Turc, H Hu, F Liu, JM Eisenschlos, U Khandelwal, ...
International Conference on Machine Learning, 18893-18912, 2023
2452023
Jointly predicting predicates and arguments in neural semantic role labeling
L He, K Lee, O Levy, L Zettlemoyer
arXiv preprint arXiv:1805.04787, 2018
2272018
Broad-coverage CCG Semantic Parsing with AMR
Y Artzi, K Lee, L Zettlemoyer
Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015
1992015
Learning Recurrent Span Representations for Extractive Question Answering
K Lee, S Salant, T Kwiatkowski, A Parikh, D Das, J Berant
arXiv preprint arXiv:1611.01436, 2016
1702016
PaLI-X: On Scaling up a Multilingual Vision and Language Model
X Chen, J Djolonga, P Padlewski, B Mustafa, S Changpinyo, J Wu, ...
arXiv preprint arXiv:2305.18565, 2023
1552023
A BERT Baseline for the Natural Questions
C Alberti, K Lee, M Collins
arXiv preprint arXiv:1901.08634, 2019
1442019
XOR QA: Cross-lingual Open-Retrieval Question Answering
A Asai, J Kasai, JH Clark, K Lee, E Choi, H Hajishirzi
arXiv preprint arXiv:2010.11856, 2020
1392020
Deep contextualized word representations. NAACL-HLT
ME Peters, M Neumann, M Iyyer, M Gardner, C Clark, K Lee, ...
Association for Computational Linguistics2227–2237, 2018
128*2018
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